Triple
T22896837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krishnaswamy |
E568195
|
entity |
| Predicate | isCommonInCommunity |
P5924
|
FINISHED |
| Object | Iyer |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Iyer | Statement: [Krishnaswamy, isCommonInCommunity, Iyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iyer Context triple: [Krishnaswamy, isCommonInCommunity, Iyer]
-
A.
Iyer
chosen
Iyer is a Tamil Brahmin community and surname traditionally associated with Hindu priests and scholars from South India.
-
B.
Ganesan
Ganesan is an Indian surname commonly associated with Tamil-speaking communities and several notable figures in Indian cinema and public life.
-
C.
Pillaiyar
Pillaiyar is a widely revered elephant-headed Hindu deity, especially in South India, worshipped as the remover of obstacles and patron of beginnings and wisdom.
-
D.
Gavankar
Gavankar is the surname of Janina Gavankar, an American actress, musician, and filmmaker known for roles in television, film, and video games.
-
E.
Bharathan
Bharathan was a pioneering Indian filmmaker and artist renowned for his influential, aesthetically rich Malayalam films that helped redefine Mollywood cinema.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1801358488190aa2a51f0943ea5bd |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.